Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
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Modern Data & Knowledge Platforms: The Foundation Every AI Strategy Actually Runs On: SD Times 100
Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
A function is a relation such that for each \(x\)-value there is only one corresponding \(y\)-value. In other words, a function cannot contain two different ordered pairs with the same first ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Abstract: Over the past two decades, tools from network science have been leveraged to characterize the organization of both structural and functional brain networks. One such tool is hub node ...
Unique to the cognitive inhibition graph are regions LH_DefaultA_pCunPCC_1 (left posterior cingulate cortex/precuneus), LH_DefaultB_PFCd_1 (left dorsal prefrontal cortex 1), and LH_DefaultB_PFCd_3 ...
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